(9/19/22) Field Outing: SFM MVS 3D Model Software Application

 Week 5 consisted of using Pix4D Capture to create and fly a 3D scan of a small plot of land at the Purdue Wildlife Area. This was an introduction to the planning and flight composition using the Pix4D Capture application with DJI Mavic 2 platforms








Northeastern quadrant of Purdue Wildlife Area. 80% overlap and sidelap, 122 meters altitude.


In total 108 images were taken, with an average size of 10.5 mb, and with an entire dataset being 1.05 gb stored within a class 3 SD card. Below is an image captured during flight. Make notice of the over-exposure that was present. This later caused an issue when processing data. Which resulted in a later map being compiled as a capture of the John Wright Martell Forestry Center instead of the Purdue Wildlife Center.







Comments

Post a Comment

Popular posts from this blog

Defining More Features and Buffers

Image
 Features can also be defined measured with other forms of tools and highlighted with buffers. The pairwise buffer tool is helpful in creating zoning areas that can be visually appreciated. Below is a map that has highlighted roads of a flight area at Purdue Wildlife Area. The roads were manually configured using the draw polygon tool. That way, all roads can be accounted for with no error. The roads are still grass features, so the classification wizard querying did earlier would not be accurate, whereas the map above is. Now, I added a 20m buffer from all roads highlighted on the map. This gives you a visualization of the land that is further than 20 meters from all roads. Due, to the road grid pattern being tight, the amount of land is quite small. The buffer feature can also be used for other features. As seen below, I have put a buffer around mostly trees, but in total, all objects that exceed 10 meters in height. Another form of analysis can be found when the same buffers abo...
Read more

Pix4D Processing and Map Making with Ground Control Points

Image
 The usage of ground control points (GCPs) can be extremely useful when processing data and creating orthomosaic images of an area flown for data analysis. Below I have two instances of processing using GCPs, both of the Purdue Wildlife Area (PWA), and both used for independent and various analyses.  Once in Pix4D, the GCP data collected is set into a file location, and on a spreadsheet, the various figures collected from the GCP during the flight are brought and inserted into Pix4D to begin processing. Initial processing then is selected and let run completely. Make sure correct projection and GCP locations are used before processing is started. Processing varies in time length, but after completion a post processing evaluation should be done.  Next initial processing should be unselected and the next two steps should be run, that being point cloud mesh and lastly the creation of a DSM and orthomosaic model. Once processing is done, locate each GCP location and make sure...
Read more